Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:
- Longitudinal data analysis
- ANOVA, regression, logistic regression
- Bayesian data analyses
- Sample size and power estimation
- Statistical genomics
- Survival analyses
- Principal component and factor analysis
- Path modeling
- Structural equation modeling
- Cluster analysis
- Complex survey data analysis
- Statistical simulations and graphics
- Profile analysis
- Gene expression data analysis
- Mixed effects models
- Generalized Estimating Equations (GEE)
- Propensity Score Matching (PSM)
- Evaluation of medical tests for classification and prediction
- Estimation of median lethal doses (LD50)/quantal dose-response curves
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Biostatisticians & Epidemiologists
Mehmet Kocak, PhD Associate Professor of Biostatistics, Preventive Medicine Mehmet earned his M.Sc. degree in applied statistics from Michigan State University and a Ph.D. of statistics from University of Memphis. He has been a study biostatistician for numerous Phase-I and Phase-II clinical trials conducted by St. Jude Children’s Research Hospital from 2002-2011 and by Pediatric Brain Tumor Consortium (PBTC) from 2002-present, and for clinical and observational studies conducted by University of Tennessee Health Science Center (UTHSC) since 2011. His areas of research have been time-course gene expression data analysis, meta-analysis of p-values, Phase-I clinical trial design, Survival analysis, and categorical data analysis. He is an expert in the SAS programming language as well as SAS/Graph.
Lei Wang, MSc Statistician, Preventive Medicine Lei earned her M.Sc. degree in both statistics and biochemistry from Texas A&M University. She has been a statistics instructor in University of Memphis from 2011 to 2013. And since 2014, she has been working as a statistician in University of Tennessee Health Science Center (UTHSC). She has been involved in several clinical studies such as TARGIT (Treating Adults at Risk for weight Gain with Interactive Technology) and CANDLE (Conditions Affecting Neurocognitive Development and Learning in Early Childhood). She has been working collaboratively with researchers in different areas, and to provide statistical services in hypothesis testing, data analysis, regression model building, survey data analysis, report generation and interpretation.